L’évolution démographique et l’automatisation,deux enjeux mondiaux pour l’avenir du travail

Les auteurs s'interrogent sur le nombre des emplois qu'il conviendra de créer demain pour répondre aux besoins engendrés par l'évolution démographique, économique et technologique. Ils font le calcul pour la période 2020-2030, en se fondant sur des projections de croissance démographique et de taux d'activité et en fixant des taux de chômage cibles. Les résultats sont ventilés par âge et par sexe. Les auteurs tiennent compte également de l'influence du niveau de revenu du pays et de l'automatisation. D'après leurs projections, les besoins de création d'emplois atteindront 340 millions en 2020-2030, et ils seront imputables à l'évolution démographique bien plus qu'à l'automatisation.     

A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study

This article presents a flood risk analysis model that considers the spatially heterogeneous nature of flood events. The basic concept of this approach is to generate a large sample of flood events that can be regarded as temporal extrapolation of flood events. These are combined with cumulative flood impact indicators, such as building damages, to finally derive time series of damages for risk estimation. Therefore, a multivariate modeling procedure that is able to take into account the spatial characteristics of flooding, the regionalization method top‐kriging, and three different impact indicators are combined in a model chain. Eventually, the expected annual flood impact (e.g., expected annual damages) and the flood impact associated with a low probability of occurrence are determined for a study area. The risk model has the potential to augment the understanding of flood risk in a region and thereby contribute to enhanced risk management of, for example, risk analysts and policymakers or insurance companies. The modeling framework was successfully applied in a proof‐of‐concept exercise in Vorarlberg (Austria). The results of the case study show that risk analysis has to be based on spatially heterogeneous flood events in order to estimate flood risk adequately.     

Population age structure and consumption growth: evidence from National Transfer Accounts

We assess the effects of the population age structure and the population dynamics on economic growth. Following recent research, we focus on the generational turnover effect to characterize the influence of birth and death rates, depending on the age profile of individual consumption, the extent of annuity market imperfections, and the willingness of households to shift consumption over time. Using data from the National Transfer Accounts on age profiles of consumption for a number of different countries, we assess—in a comparative way—the sign and the magnitude of the generational turnover effect and its impact on economic growth. We find considerable cross-country differences and trace them back to the underlying variation in demography and in the age structure of consumption.     

Deep Uncertainties in Sea-Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management

Sea levels are rising in many areas around the world, posing risks to coastal communities and infrastructures. Strategies for managing these flood risks present decision challenges that require a combination of geophysical, economic, and infrastructure models. Previous studies have broken important new ground on the considerable tensions between the costs of upgrading infrastructure and the damages that could result from extreme flood events. However, many risk-based adaptation strategies remain silent on certain potentially important uncertainties, as well as the tradeoffs between competing objectives. Here, we implement and improve on a classic decision-analytical model (Van Dantzig 1956) to: (i) capture tradeoffs across conflicting stakeholder objectives, (ii) demonstrate the consequences of structural uncertainties in the sea-level rise and storm surge models, and (iii) identify the parametric uncertainties that most strongly influence each objective using global sensitivity analysis. We find that the flood adaptation model produces potentially myopic solutions when formulated using traditional mean-centric decision theory. Moving from a single-objective problem formulation to one with multiobjective tradeoffs dramatically expands the decision space, and highlights the need for compromise solutions to address stakeholder preferences. We find deep structural uncertainties that have large effects on the model outcome, with the storm surge parameters accounting for the greatest impacts. Global sensitivity analysis effectively identifies important parameter interactions that local methods overlook, and that could have critical implications for flood adaptation strategies.     

Examining the Global North Migration Policies: A “Push Out – Push Back” Approach to Forced Migration

In this paper we focus on adapting the concept of push – pull factors to forced migration by proposing a “push out – push back” approach that underlines two most crucial elements of forced migrants’ experience. On the one hand, it stresses the reasons for leaving countries of origin or of temporary refuge that are not dependant on the will of people who flew those places, thus the “push out” factors. On the other hand, it represents the refusal of the countries of the Global North to accept forced migrants and their use of various practices, amounting to “push back” factors, to prevent them from entering or leaving their territory if they manage to reach it. These factors can be divided into three groups: passive, active, and symbolic.     

PRICE‐LEVEL CHANGES AND THE REDISTRIBUTION OF NOMINAL WEALTH ACROSS THE EURO AREA

We show that unexpected price‐level movements generate sizable wealth redistribution in the Euro Area (EA), using sectoral accounts and newly available data from the Household Finance and Consumption Survey. The EA as a whole is a net loser of unexpected price‐level decreases, with Italy, Greece, Portugal, and Spain losing most in per capita terms, and Belgium and Malta being net winners. Governments are net losers of deflation, while the household (HH) sector is a net winner in the EA as a whole. HHs in Belgium, Ireland, Malta, and Germany experience the biggest per capita gains, while HHs in Finland and Spain turn out to be net losers. Considerable heterogeneity exists also within the HH sector: relatively young middle class HHs are net losers of deflation, while older and richer HHs are winners. As a result, wealth inequality in the EA increases with unexpected deflation, although in some countries (Austria, Germany, and Malta) inequality decreases due to the presence of relatively few young borrowing HHs. We document that HHs' inflation exposure varies systematically across countries, with HHs in high‐inflation EA countries holding systematically lower nominal exposures.     

Attitude strength moderates adverse effects to questionnaire design

ABSTRACT

The presentation and visual design of the “don’t know” category in rating scales on respondents’ behavior may have ambivalent effects. The hypothesis is that attitude strength toward the topic influences the respondents’ sensitivity to the graphical design of the scale. A paper-and-pencil questionnaire conducted among 307 German university students contained an experimental variation of the presentation of a “don’t know” category and its visual design. A multinomial logistic regression shows that presenting a “don’t know” category drives respondents toward extreme categories. The visual design of the “don’t know” category influences the distribution of responses, all the more that the respondents’ attitudes toward the item topic are weak.     

Global employment and decent jobs, 2010–2030: The forces of demography and automation

Globally, an estimated 734 million jobs will be required between 2010 and 2030 to accommodate recent and ongoing demographic shifts, account for plausible changes in labour force participation rates, and achieve target unemployment rates of at or below 4 per cent for adults and at or below 8 per cent for youth. The facts that most new jobs will be required in countries where “decent” jobs are less prevalent and workers in many occupations are increasingly subject to risks of automation further compound the challenge of job creation, which is already quite sizable in historical perspective. Failure to create the jobs that are needed through 2030 would put currently operative social security systems under pressure and undermine efforts to guarantee the national social protection floors enshrined in the Sustainable Development Goals (SDGs).